Francesco Tudisco

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Citations	1120	1020
h-index	22	21
i10-index	35	33

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Matthias HeinProfessor of Computer Science, University of TübingenVerified email at uni-tuebingen.de
Antoine GautierQuantPiVerified email at quantpi.com
Dario FasinoAssociate Professor of Numerical Analysis, University of Udine, ItalyVerified email at uniud.it
Desmond HighamProfessor of Mathematics, University of EdinburghVerified email at ed.ac.uk
Pedro MercadoSaarland University - University of Tübingen - AWS AI Labs, Amazon Web ServicesVerified email at amazon.com
Francesco RinaldiProfessor, University of PadovaVerified email at math.unipd.it
Stefano CipollaUniversity of SouthamptonVerified email at soton.ac.uk
Francesca ArrigoUniversity of StrathclydeVerified email at strath.ac.uk
Andrea CristofariUniversity of Rome "Tor Vergata"Verified email at uniroma2.it
Sara VenturiniMIT Senseable City LabVerified email at studenti.unipd.it
Emanuele ZangrandoMathematics Ph.D student, Gran Sasso Science InstituteVerified email at studenti.unipd.it
Austin R BensonVerified email at deshaw.com
Konstantin ProkopchikGSSIVerified email at gssi.it
Gianluca CerutiUniversity of InnsbruckVerified email at uibk.ac.at
Michela Redivo-ZagliaUniversity of PaduaVerified email at unipd.it
Nicola GuglielmiProfessor of Numerical Analysis, Gran Sasso Science InstituteVerified email at gssi.it
Jonas KuschAssociate Professor in Scientific Computing, Norwegian University of Life Sciences (NMBU)Verified email at nmbu.no
Steffen SchotthöferHouseholder Fellow, Oak Ridge National LaboratoryVerified email at ornl.gov
Piero DeiddaScuola Normale Superiore, Pisa - Gran Sasso Science Institute, L'AquilaVerified email at sns.it
Anton SavostianovGran Sasso Science Institute, L'Aquila, ItalyVerified email at gssi.it

Francesco Tudisco

The University of Edinburgh

Verified email at ed.ac.uk - Homepage

deep learning ai4science numerical analysis network science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Node and edge nonlinear eigenvector centrality for hypergraphs F Tudisco, DJ Higham Communications Physics 4 (1), 201, 2021	77	2021
Node and layer eigenvector centralities for multiplex networks F Tudisco, F Arrigo, A Gautier SIAM Journal on Applied Mathematics 78 (2), 853-876, 2018	70	2018
Clustering signed networks with the geometric mean of Laplacians P Mercado, F Tudisco, M Hein Advances in Neural Information Processing Systems 29 (NeurIPS) 29, 2016	55	2016
A nodal domain theorem and a higher-order Cheeger inequality for the graph p-Laplacian F Tudisco, M Hein EMS Journal of Spectral Theory 8, 883-908, 2018	51	2018
A nonlinear spectral method for core-periphery detection in networks F Tudisco, DJ Higham SIAM Journal on Mathematics of Data Science 1 (2), 269-292, 2019	49	2019
Spectral Clustering of Signed Graphs via Matrix Power Means P Mercado, F Tudisco, M Hein International Conference on Machine Learning (ICML), 4526--4536, 2019	44	2019
The Perron-Frobenius theorem for multihomogeneous mappings A Gautier, F Tudisco, M Hein SIAM Journal on Matrix Analysis and Applications 40 (3), 1179-1205, 2019	42*	2019
A unifying Perron-Frobenius theorem for nonnegative tensors via multihomogeneous maps A Gautier, F Tudisco, M Hein SIAM Journal on Matrix Analysis and Applications 40 (3), 1206-1231, 2019	40	2019
The power mean Laplacian for multilayer graph clustering P Mercado, A Gautier, F Tudisco, M Hein Proceedings of the Twenty-First International Conference on Artificial …, 2018	37	2018
Nonlinear higher-order label spreading F Tudisco, AR Benson, K Prokopchik Proceedings of the Web Conference 2021, 2402-2413, 2021	31	2021
Nonlinear feature diffusion on hypergraphs K Prokopchik, AR Benson, F Tudisco International Conference on Machine Learning, 17945-17958, 2022	30*	2022
Low-rank lottery tickets: finding efficient low-rank neural networks via matrix differential equations S Schotthöfer, E Zangrando, J Kusch, G Ceruti, F Tudisco Advances in Neural Information Processing Systems 35, 20051-20063, 2022	29	2022
An efficient multilinear optimization framework for hypergraph matching Q Nguyen, F Tudisco, A Gautier, M Hein IEEE transactions on pattern analysis and machine intelligence 39 (6), 1054-1075, 2016	29	2016
An algebraic analysis of the graph modularity D Fasino, F Tudisco SIAM Journal on Matrix Analysis and Applications 35 (3), 997-1018, 2014	29	2014
Extrapolation methods for fixed‐point multilinear PageRank computations S Cipolla, M Redivo‐Zaglia, F Tudisco Numerical Linear Algebra with Applications 27 (2), e2280, 2020	28	2020
Core-periphery detection in hypergraphs F Tudisco, DJ Higham SIAM Journal on Mathematics of Data Science, 2023	24	2023
Shifted and extrapolated power methods for tensor -eigenpairs S Cipolla, M Redivo-Zaglia, F Tudisco Electronic Transactions on Numerical Analysis 53, 1--27, 2020	24	2020
Community detection in networks via nonlinear modularity eigenvectors F Tudisco, P Mercado, M Hein SIAM Journal on Applied Mathematics 78 (5), 2393-2419, 2018	24	2018
Ergodicity coefficients for higher-order stochastic processes D Fasino, F Tudisco SIAM Journal on Mathematics of Data Science 2, 740--769, 2020	23*	2020
A modularity based spectral method for simultaneous community and anti-community detection D Fasino, F Tudisco Linear Algebra and its Applications, 2018, 2017	23	2017

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